ENH Process data in canonical (sorted) order

This avoid introducing small variations on the results just based on
filesystem ordering.

Author: luispedro

ch10/simple_classification.py

@@ -23,7 +23,11 @@
 print('Computing features...')
 # Use glob to get all the images
 images = glob('{}/*.jpg'.format(basedir))
-for fname in images:
+
+# We sort the images to ensure that they are always processed in the same order
+# Otherwise, this would introduce some variation just based on the random
+# ordering that the filesystem uses
+for fname in sorted(images):
     im = mh.imread(fname, as_grey=True)
     haralicks.append(texture(im))
     sobels.append(edginess_sobel(im))

ch12/image-classification.py

@@ -72,7 +72,7 @@ def print_results(scores_base, scores_combined):
 
 # Use glob to get all the images
 images = glob('{}/*.jpg'.format(basedir))
-for fname in images:
+for fname in sorted(images):
     haralicks.append(features_for(fname))
     sobels.append(edginess_sobel_from_fname(fname))
     labels.append(fname[:-len('00.jpg')]) # The class is encoded in the filename as xxxx00.jpg